Title
Taking the grading leniency story to the edge : the influence of student, teacher, and course characteristics on student evaluations of teaching in higher education Taking the grading leniency story to the edge : the influence of student, teacher, and course characteristics on student evaluations of teaching in higher education
Author
Faculty/Department
Faculty of Social Sciences
Faculty of Social Sciences. Sociology
Publication type
article
Publication
Dordrecht ,
Subject
Sociology
Educational sciences
Source (journal)
Educational assessment, evaluation and accountability. - Dordrecht, 2009, currens
Volume/pages
23(2011) :4 , p. 289-306
ISSN
1874-8597
ISI
000297592800003
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Affiliation
University of Antwerp
Abstract
The use of student evaluation of teaching (SET) to evaluate and improve teaching is widespread amongst institutions of higher education. Many authors have searched for a conclusive understanding about the influence of student, course, and teacher characteristics on SET. One hotly debated discussion concerns the interpretation of the positive and statistically significant relationship that has been found between course grades and SET scores. In addition to reviewing the literature, the main purpose of the present study is to examine the influence of course grades and other characteristics of students, courses, and teachers on SET. Data from 1244 evaluations were collected using the SET-37 instrument and analyzed by means of cross-classified multilevel models. The results show positive significant relationships between course grades, class attendance, the examination period in which students receive their highest course grades, and the SET score. These relationships, however, are subject to different interpretations. Future research should focus on providing a definitive and empirically supported interpretation for these relationships. In the absence of such an interpretation, it will remain unclear whether these relationships offer proof of the validity of SET or whether they are a biasing factor.
E-info
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